
Smarter AI coding agents with total enterprise control for secure, personalized software development.
Tabnine is an AI-powered code assistant designed to enhance developer productivity by providing context-aware code completions, explanations, testing, documentation, and code review within popular IDEs. It offers enterprise-grade security and deployment flexibility, including SaaS, on-premises, and air-gapped options, ensuring code and IP never leave the organization's environment. Tabnine's unique Context Engine personalizes AI suggestions based on the organization's architecture, coding standards, and legacy systems, transforming AI into a governed, context-aware teammate that fits seamlessly into enterprise workflows.
Last updated: Dec 2, 2025
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Offers AI-powered chat assistance for planning, creating, testing, reviewing, documenting, explaining, and maintaining code throughout the software development lifecycle.
Learns and adapts to an organization's unique architecture, coding standards, and legacy systems to ensure AI suggestions align with enterprise requirements.
Supports deployment as secure SaaS, inside virtual private clouds, on-premises, or fully air-gapped environments to meet strict compliance and security needs.
Enables AI agents to generate and validate code based on Jira issues and connect with documentation in Confluence for enhanced context and accuracy.
Allows organizations to create bespoke AI models trained on their own codebases for ultimate customization and improved code generation quality.
Provides a secure dashboard for managing permissions, tracking usage, enforcing policies, auditing AI activity, and controlling costs across users and teams.
| Plan | Price | Highlights |
|---|---|---|
| Enterprise Plan | $59 | AI code completions for single and multi-line implementations
|
| Custom Deployment | Contact Sales | Custom AI model fine-tuning on your codebase
|
Uses all available IDE data such as variable types, comments, open files, and libraries to provide highly relevant and personalized code suggestions.
Automates code review by enforcing company-specific coding standards and policies, flagging deviations, and suggesting fixes directly in the IDE and pull requests.
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